基于神经网络的多传感器信息融合及其在机器人中的应用  

Multi-sensor information fusion based on neural network and its application in mobile robots

作　　者：司兴涛[1] 张新义[2] 

机构地区：[1]山东理工大学机械工程学院 [2]山东理工大学

出　　处：《传感器世界》2009年第7期40-43,共4页Sensor World

摘　　要：多传感器信息融合即融合多个传感器提供的冗余、互补或更实时的信息,可以获得系统所需的更准确和更精确的信息。介绍了神经网络融合方法,探讨了信息融合技术在机器人方面的应用。机器人避障实验验证了所提方法的有效性。Multi-sensor information fusion technology fuses the redundant , complementary and real-time information from every sensor in a system and acquires more reliable and accurate information required by system. A fusion method based on neural network is introduced in this paper, and its application in robot field is discussed. An obstacle avoidance experiment of robot is done and the results prove the feasibility of the proposed approach.

关 键 词：多传感器信息融合(MIF) 神经网络 移动机器人 避障 

分 类 号：TP242[自动化与计算机技术—检测技术与自动化装置]